What do you get with Self-Healing solution
Heterogeneous data in one place for easy correlations
Convenient and fast system for deep data insights
Faster fault detection
Act before customer complaints
Prevention of more serious issues
Observability pipelines with autonomic decisions
Mobile Network Self-Healing
Utilizing deep learning models, we provide analysis of log data for recognition and classification of anomalous log patterns.
Models are trained for recognition of degradation in metrics, both for uni- and multi-variate time series data.
Each anomaly detected and represented as an island makes no use. We put them together in the unit of situational awareness which we call observation using Dataverse Event Correlation engine.
Based on detected anomalies and information gathered via situational awareness (correlation) engine, the specific healing action is constructed in relation to mulitple parameters. Action is either directly invoked by Dataverse ActionExec orhcestrating mechanism, or information is provided on the message bus for any other orchestrator to perform the needed action.